chore: update README.md with Firestore vector search fallback note, remove unused dependency from package.json
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@ -410,6 +410,7 @@ Brainy provides several memory augmentation implementations for different storag
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2. **FileSystemStorageAugmentation**: File system storage (for Node.js environments)
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3. **OPFSStorageAugmentation**: Origin Private File System storage (for browser environments)
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4. **FirestoreStorageAugmentation**: Firestore database storage (requires Firebase)
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- Note: The FirestoreStorageAugmentation includes vector search functionality that will automatically fall back to client-side search if the Firebase Extensions for Firestore Vector Search is not available.
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You can use the `createMemoryAugmentation` factory function to automatically select the appropriate storage type based on the environment, or you can specify a particular storage type.
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@ -67,8 +67,7 @@
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"@tensorflow/tfjs-core": "^4.22.0",
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"@tensorflow/tfjs-layers": "^4.22.0",
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"firebase": "^10.8.0",
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"firebase-admin": "^12.0.0",
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"@firebase/firestore-vector-search": "^0.1.0"
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"firebase-admin": "^12.0.0"
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},
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"prettier": {
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"arrowParens": "always",
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